Acknowledgments

Boost.MPI was developed with support from Zurcher Kantonalbank. Daniel Egloff
and Michael Gauckler contributed many ideas to Boost.MPI's design, particularly
in the design of its abstractions for MPI data types and the novel skeleton/context
mechanism for large data structures. Prabhanjan (Anju) Kambadur developed the
predecessor to Boost.MPI that proved the usefulness of the Serialization library
in an MPI setting and the performance benefits of specialization in a C++ abstraction
layer for MPI. Jeremy Siek managed the formal review of Boost.MPI.